Multivariate and Dimensionality-Reduction-Based Machine Learning Techniques for Tumor Classification of RNA-Seq Data

Multivariate and Dimensionality-Reduction-Based Machine Learning Techniques for Tumor Classification of RNA-Seq Data

Cancer, a genetic disease, is considered one of the leading causes of death globally and affects people of all ages. Ribonucleic acid sequencing (RNA-Seq) is a technique used to quantify the expression of genes of interest and can be used to classify cancer tumor types. This paper describes a machin...

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Bibliographic Details
Main Authors: Mahmood Al-khassaweneh, Mark Bronakowski, Esraa Al-Sharoa
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
cancer classification
factor analysis
multivariate analysis
dimensionality reduction
genes
RNA-Seq
Online Access:https://www.mdpi.com/2076-3417/13/23/12801

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https://www.mdpi.com/2076-3417/13/23/12801

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